301 to 325 of 2,938 Machine Learning Jobs in London

processes for artificial intelligence and machine learning solutions. This role is ideal for those with experience in developing or testing AI/ML applications and is looking to build their skillset, working closely with senior researchers and engineers. Key Responsibilities: Develop and implement machine learning and AI models Develop test and evaluation protocols on ML/AI models Assist in data pre-processing, feature engineering, and exploratory data analysis Contribute to building scalable and maintainable AI software systems Debug, test, and improve existing models and codebases Document workflows, models, and results clearly Required Skills ...

What you will do Build and productionise machine learning models against healthcare data at pace. Strengthen data pipelines, model evaluation and deployment tooling. Work directly with the product and clinical safety teams on model behaviour and guardrails. Leave the internal team with documentation … monitoring they can run without you. What we are looking for Proven contract delivery in production machine learning environments. Strong Python, cloud ML tooling and MLOps discipline. Experience with healthcare, life sciences or another regulated data domain is useful. Available at short notice and comfortable operating outside IR35. ...

productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience … ability to work in a collaborative environment Care about the societal impacts of your work Preferred Experience: Work on high-performance, large-scale ML systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ...

Represent Movar at industry events and contribute to thought leadership in AI, machine learning, and data science. Technical Stack Core: Databricks (advanced ML capabilities) Strategic: Multi-agent systems Responsible AI frameworks Leadership: MLOps at scale AI governance AI strategy and roadmapping What You'll Bring: Hands‐on professional … experience in business development, client management, and P&L accountability. Deep expertise in AI and machine learning, particularly Generative AI and production ML systems. Exceptional stakeholder management skills, with ability to communicate AI strategies and outcomes to C‐suite executives. Strategic vision combined with hands‐on technical ability ...

drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders … drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead ...

deliver images and videos to millions of ASOS customers. This role focuses on designing reliable, responsible and high‐performing AI systems, using Deep learning embedding techniques for multimodal signal processing, and generative AI technologies such as large language models (LLMs). You’ll work closely with Studios, Machine … frameworks for AI models, including automated testing and benchmarking to support ongoing improvement Qualifications Key Skills and Experience Proficiency in Python and familiarity with ML/AI libraries (e.g. PyTorch, TensorFlow, Hugging Face) for computer vision. Hands‐on professional experience in fine‐tuning and deploying machine learning solutions ...

opportunity to deliver impactful AI capabilities while working at the intersection of modern AI and enterprise systems.ResponsibilitiesBuild and maintain platform components for ML model training, deployment, serving and monitoringDevelop and optimize CI/CD pipelines for machine learning workflowsImplement and support model lifecycle management, including registries and observability … toolingDesign and manage scalable, secure deployments using containerization and KubernetesEnable secure, reusable and automated workflows to enhance ML developer productivityExtend platform capabilities to support LLMOps, RAG and agentic AI workloadsCollaborate with engineering teams to improve reliability, automation and operational maturityApply governance and compliance standards across AI operationsParticipate in presales ...

others, we’ve been recognized with: 21x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner … Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! Our culture is built on transparency, diversity, integrity, learning and growth. We are committed ...

retrieval architectures (lexical, vector, hybrid)Evaluation methodologies for IR and generative AI systems Strong programming skills in Python Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data and machine learning platforms Understanding … ranking, recommendation, or retrieval systems Familiarity with scientific, biomedical, or scholarly datasets Experience with knowledge graphs, ontologies, or semantic enrichment systems Exposure to production ML systems and MLOps practices Academic or industry research experience in NLP, information retrieval, search, or generative AI Experience working in content-rich, knowledge-intensive ...

code for processing, transforming and quality control of new data types for integration into our larger data model Contribute to and implement statistical and machine learning methods to a high standard of robustness, validation and reproducibility. Contribute to internal and external presentations and publications arising from our work. … Essential Strong knowledge of human genetics and functional or clinical genomics, and the ability to apply it to research questions. Skilled at analysing and learning from large-scale biological datasets, including statistical and machine learning methods. Experienced processing and interpreting data from functional genomics, molecular and expression ...

experience training and improving deep learning models end-to-end, across vision and language. You'll work on well-scoped empirical open-ended ML research problems. Responsibilities Train image classifiers and generative image models from scratch, and fine-tune open-weight language models. Get the most out of limited … 3+ years of machine learning research experience (PhD research counts toward this requirement). Strong experience with PyTorch, JAX, TensorFlow, or similar ML frameworks. Degree from a top-100 university, experience at a FAANG or comparable AI company, or an equivalent research track record through publications or impactful ...

Learning Engineer (Natural Language Processing) to join our team. You will be an early shaper of the design and architecture of the ML/AI technology at the core of our platform, and work closely with the founding team to deliver 10x value to our clients. … role is for you. You’ll have a meaningful opportunity to shape our engineering culture from the ground up. What you’ll do Develop ML/AI functionality at the core of our platform, owning end-to-end design and implementation Solve abstract, open-ended problems using modern AI tools ...

validate predictive models and build efficient, automated processes for delivering modelling results at scale Apply modern machine learning capabilities - including AI/ML, deep learning, NLP, causal ML, and explainable AI - across multiple data modalities and clinical development contexts Apply statistically rigorous approaches to clinical trial data … machine learning models on high-dimensional data for time-to-event, longitudinal, and multivariate outcomes Experience in the application of AI/ML and proficiency in Python, R, SQL, and cloud platforms (e.g., AWS, Azure, Databricks) Familiarity with clinical trial design, drug development processes, and the role ...

need to be comfortable collaborating across disciplines and different technologies. What You’ll Do Modelling & Analysis: Develop, train and evaluate models using statistical and machine learning techniques, with a focus on probabilistic approaches. Contribute across the modelling lifecycle from feature engineering and training through to validation and deployment. … Sport: You follow sport closely and understand the context of the data and audiences we build for. Comfortable with sport-driven modelling decisions. Machine Learning & Statistics: Solid grounding in machine learning, supervised and unsupervised methods, and classical statistical techniques. Comfortable working with probabilistic models, uncertainty estimation ...

Operations workflows, controls, exception management, and productivity use cases Define and drive AI engineering architecture patterns for scalable, secure, reusable, and production‐ready AI, machine learning, and generative AI solutions Design and implement agent harnesses, orchestration layers, tool‐use frameworks, workflow automation patterns, and guardrails for enterprise … feedback mechanisms for AI systems, including quality measurement, hallucination reduction, regression testing, model performance tracking, and operational risk controls Design approaches for continual learning and improvement, including human‐in‐the‐loop feedback, telemetry‐driven enhancement, model, prompt, and version management, and safe release practices Collaborate with Markets Operations stakeholders ...

bespoke analytics to be applicable to the broader investment sectors so that the solutions can be redeployed periodically. Stay current with developments in AI, machine learning, and data science, helping drive adoption of new capabilities across the investment platform. Qualifications, Experience & Attributes MSc, PhD, or equivalent degree … Mathematics, Statistics, Economics, Engineering, Computer Science, Data Science, Operations Research, or a related quantitative discipline. 5+ years' experience applying data science, machine learning, AI, or advanced analytics to solve complex commercial problems with measurable business impact. Strong programming skills in Python and SQL, with experience building robust analytical ...

operations market, building a live model of each customer's environment and using AI agents to detect, investigate, hunt, and respond to threats at machine speed. Just one year after our founding, Artemis is one of the fastest-growing cybersecurity companies of all time, with customers including multiple Fortune … SOAR category, was an engineering leader at Palo Alto Networks, and holds an MBA from Harvard. Dan Shiebler (CTO) led all AI and machine learning at Abnormal AI, the pioneer of behavior-based detection, spent five years building analytics using machine learning and vector databases ...

strategic risk. More at extrac.ai. The Role Location: Hybrid (In-office in London, minimum 2 days per week) We are looking for a Senior ML Engineer to join ExTrac's Machine Learning team, which owns our modelling capabilities end-to-end. You will partner directly with software engineering … over how ExTrac's agentic systems are built and where they go next. Strong performance here means deeper ownership of technical direction across the ML team, a bigger hand in setting the standards others are held to, and a path toward specialised domain AI leadership or broader technical leadership, depending ...

stakeholder instincts to deliver products that people actually use, and the curiosity to push the boundary of what People Analytics can do through machine learning and AI. This is a senior individual contributor role with real scope. You will own a portfolio of stakeholder relationships … Business Partnering and Finance, responsible for both supporting existing products and delivering new ones. Machine learning and AI: Design, build, and deploy ML models and AI-powered data products. Working from our People Analytics AI roadmap, you will identify high-value use cases and deliver production-grade solutions ...

Requirements Demonstrable experience developing algorithms to solve problems in RF, RADAR, communication networks or similar physics or engineering domains. Commercial or academic experience applying ML techniques to real-world problems. Experience leading high-quality research projects including publishing research to top-tier reviewed journals. Strong academics including a relevant … dental plans, 10% employer pension contributions and an extensive structured professional development programme. Keywords Defence, EM, Electromagnetic, RF, Radio Frequency, AI, Artificial Intelligence, ML, Machine Learning, GNNs, Transformers, Autoencoders, Reinforcement Learning, Multi-Modal AI, Data Fusion, EPM, Electronic Protection Measures, ESM, Electronics Support Measures, EA, Electronics Attack ...

Lead Applied Scientist - AI & Machine Learning London (Hybrid - 2-3 Days per Week in the Office) Salary: £95,000 - £120,000 + Bonus + Excellent Benefits Are you an experienced AI and Data Science leader looking to shape the future of Generative AI and Machine Learning ...

rest of the engineering team to build systems that actually translate into creative & fun games. What You’ll Do: Build, train and integrate ML models for real-time interactive experiences Develop systems and applications powered by LLMs Own projects across the ML pipeline, from experimentation through to production Optimise models … performance, latency and efficiency Work with engineering and creative teams to turn ML capabilities into compelling experiences What We're Looking For: Strong knowledge of Python Experience writing models in PyTorch or JAX A good understanding of how large language models work Comfortable working along the whole ML pipeline: from ...

leading UK technology training provider that is growing its Data Science and AI delivery team on government-facing programmes. You'll deliver GenAI, machine learning and Python training to public sector and enterprise learners. You'll also help shape how the courses are built, rather than just teaching … Degree in Maths or a related subject, or an MSc/PhD in Data Science, AI or Computer Science Experience working alongside AI/ML engineers and data scientists What's on offer: Salary: £70,000 - £80,000 Home-based, with travel to training centres and client sites (Cheltenham region ...

strategic risk. More at extrac.ai. The Role Location: Hybrid (In-office in London, minimum 2 days per week) We are looking for an ML Engineer to join ExTrac's Machine Learning team, which owns our modelling capabilities end to end. You will work with software engineering and product … parts of a problem. You will take projects from prototype through to reliable production deployment. We look for people who enjoy challenging problems, keep learning and build systems that scale. We value low ego, genuine ownership and a passion for applying AI to high-stakes intelligence challenges. What ...

developing innovative solutions to enhance video streaming experiences. In this role, you'll build algorithms that detect and correct video defects using cutting-edge machine learning and computer vision techniques, ensuring high-quality video is delivered to millions of users across the globe. You'll be part … analysis. What you will do: As a Software Development Engineer specializing in Video Quality Analysis, you will create and optimize systems that use deep learning and computer vision to detect and improve video quality. You'll work on developing scalable, real-time solutions that automatically identify defects in video ...